In 83 pure-SEEG patients, mean HFA and theta slopes were not significant, and HFA did not explain primacy

1. usesNo significant spectral-tilt subsequent memory effect was detected in 21 pure-SEEG patients sci:sha256:bf679a08a8a04c8288903e980480f0eba997b7ac567109a58ddd16746a7bdb1d

   We used its fetch code, its download order and its archived features of 22 subjects, and extended them with 61 subjects.

2. usesdoi:10.18112/openneuro.ds004789.v3.1.0

   This exact OpenNeuro ds004789 snapshot (3.1.0) supplied the RAM FR1 recordings analyzed in this publication.

3. doi:10.1093/cercor%2Fbhs318

Public catalog entries on Sciscape.

• usesA recall classifier showed little word-specific signal in 81 pure-SEEG patients

  Per-word x pair x band encoding power features and preprocessing rules for 83 pure-SEEG FR1 subjects are the input of this analysis.

• usesAn FR1-trained SEEG classifier weakly predicts catFR1 recall in 22 patients, but HFA memory maps do not correlate

  FR1 per-word band-power features for the 22 shared patients.

• usesIn 82 SEEG subjects, stronger encoding-pattern drift correlated with greater recall contiguity

  Uses the per-word, per-bipolar-pair band-power features of the 83 ds004789 FR1 subjects; the SHA-256 of all 83 files matched.

• challengesIn 51 pure-SEEG FR1 patients, sample-timed HFA decreased and theta increased with serial position

  With epochs cut at sample/fs and the verbatim 9da8ac2f analysis code and decision rules, H1 (HFA slope < 0) and H2 (theta slope > 0) are supported in 51 of its 83 subjects (both Holm p = 0.00015). 9da8ac2f reported both as not supported. On the same 51 subjects, its archived onset-timed values gave no slope. Its H3 null holds.

• usesIn 51 pure-SEEG FR1 patients, sample-timed HFA decreased and theta increased with serial position

  Verbatim code/analyze_sp.py (byte-identical), the subject list, the download order and the archived onset-timed per_subject.tsv and group_results.json for the paired comparison.

• usesIn 83 SEEG subjects, encoding band-power patterns drifted with study lag but did not predict consecutive recall (ds004789 FR1, session 0)

  Uses the per-word, per-bipolar-pair band-power features, recall flags and SHA-256 provenance of the 83 ds004789 FR1 subjects.

• usesWord-locked SEEG features predict recall within serial position and remove negative state carry-over in 48 RAM FR1 subjects

  Onset-timed per-subject features (the f071a7d9 inputs) for the matched comparison.

• challengesIn 20 SEEG patients’ first eight free-recall lists, HFA decreased and theta increased across positions, while HFA predicted recall after position control

  In ds004865 SEEG pairs, HFA and theta power changed significantly with serial position (also with list-centred z, p = 0.0018), different from the null results of 9da8ac2f in ds004789. The datasets, positions and epochs differ, so this does not directly test 9da8ac2f.

• usesIn 78 RAM FR1 patients with SEEG, a word classifier predicted recall across but not within serial positions and showed no forward carry-over

  We use its archived per-word spectral power features of 83 pure-SEEG FR1 subjects and its preprocessing.

• challengesIn a 51-subject ds004789 FR1 neural test, sample/fs yielded more word-locked ERP/HFA responses than onset

  It used the fetch code of 150d3175, which times word epochs by events.tsv onset. Our neural positive control shows that onset is shifted from the word time in the EDF in ds004789 FR1 (sample/fs gives the correct time), so its encoding windows did not contain the word-encoding period and its null HFA/theta result is not valid evidence of no effect.

• challengesIn 22 ds004789 patients, HFA decreased and theta increased across list positions only with sample/fs-timed word epochs

  With sample/fs epochs, the H1 HFA and H2 theta serial-position slopes are significant in the 22 patients whose onset-timed slopes it used; its null agrees with an epoch-timing error.

• usesIn 22 ds004789 patients, HFA decreased and theta increased across list positions only with sample/fs-timed word epochs

  Its analyze_sp.py is run byte-identical; its per_subject.tsv is the reproduction reference.

• challengesAssuming sample/fs marks EDF time, 21 pure-SEEG FR1 patients showed a subsequent memory effect hidden by onset timing

  The archived 9da8ac2f code cuts ds004789 word epochs at events.tsv onset (fetch_features.py:69, same line as 150d3175). In 21 ds004789 subjects, this work shows that onset-timed 0-1.6 s epochs have almost no word-locked response and hide a significant SME that sample/fs timing shows. The 9da8ac2f serial-position claims were not re-tested here. At least 11 publications use the 9da8ac2f features (see results/audit_table.tsv).

• usesHFA and theta subsequent memory effects were not larger on the left in 53 pure-SEEG patients

  Per-word log10 band power features, artifact rule, and source-file SHA-256 hashes used to verify the fetched MNI electrode files.

• usesIn 40 RAM FR1 SEEG patients, a 5-band global model trained in session 0 did not predict session-1 word recall (AUC 0.508) or outperform the pair model

  We use its session-0 FR1 band-power features (features/*.npz) and its artifact rule.

• usesList-level HFA varied above chance but did not predict recall in pure-SEEG free recall

  We used the archived per-word band-power features of 83 FR1 patients (features/sub-*.npz) as the primary sample. The SHA-256 of each input is in results/input_sha256.txt.

• usesMean encoding HFA and theta power did not predict recalled-word output order in 68 pure-SEEG patients

  Band-power features (83 pure-SEEG subjects), preprocessing and test code are reused without change.

• usesIn 18 SEEG patients, 3–8 Hz and 70–150 Hz power after word-pair onset did not predict later cued recall across channels (OpenNeuro ds005059, session 0)

  The byte-range EDF feature code (fetch_features.py for ds004789 FR1) was adapted to ds005059 PAL1.

• usesIn 71 pure-SEEG patients, left-hemisphere 70–150 Hz memory effects were null and pair effects matched chance (FR1, session 0)

  Per-word log10 band power features (83 subjects), recall labels and artifact rule; input SHA-256 in results/input_feature_sha256.txt.

• supportsRidge decoding did not predict later recall from encoding power in 81 pure-SEEG subjects

  A multivariate classifier also finds no reliable recall information in these features, which agrees with the null univariate HFA SME.

• usesRidge decoding did not predict later recall from encoding power in 81 pure-SEEG subjects

  Uses the archived per-word encoding power features, artifact rule and list-centring of this package.

• supportsEncoding band power predicted recall above a free-label null but not beyond serial position in 78 pure-SEEG patients

  Its H3 found no univariate HFA subsequent memory effect when serial position is controlled. This work extends that null result to a cross-validated multivariate classifier on all pairs and 5 bands: AUC minus serial-position-stratified null +0.003 [-0.012, 0.019], Holm p 0.72, n 78.

• usesEncoding band power predicted recall above a free-label null but not beyond serial position in 78 pure-SEEG patients

  All input data: the archived per-word, per-pair log10 band power files (features/sub-*.npz, 83 subjects, SHA-256 checked against its manifest), its artifact rule, full-list rule and hippocampal regex, and its sign-flip and Holm code.

• supportsSEEG word-encoding power showed no large subsequent-memory effect in 19 pyFR patients, conditional on event timing

  That work found no HFA or theta SME in RAM FR1 SEEG data. We found the same null result in an independent cohort (pyFR, ds004865).

• usesSEEG Pair-Level Subsequent Memory Maps Did Not Recur Across Sessions in 40 Patients

  Session-0 per-word band-power features and fetch code reused; session-1 features computed with the same code.

• usesThe HFA memory effect did not decrease across FR1 session 0, while theta power increased

  We use the archived 83-subject FR1 per-word band-power features of this publication as the only input.

• challengesSample-timed epochs revealed serial-position HFA decreases and theta increases in 26 ds004789 FR1 patients

  Its verbatim analyze_sp.py, re-run on sample/fs-timed epochs of 26 subjects, gives a significant HFA decrease and theta increase with serial position; the onset-timed branch reproduces its archived null exactly for 22 subjects.